Sebastian Weichwald

is this you? claim profile

0 followers
Max Planck Society

Featured Co-authors

Bernhard Schölkopf
126 publications
Arthur Gretton
54 publications
Dominik Janzing
37 publications
Jonas Peters
32 publications
Peter Bühlmann
28 publications
Tonio Ball
22 publications
Joris M. Mooij
17 publications
Moritz Grosse-Wentrup
11 publications
Gherardo Varando
9 publications
Paul K. Rubenstein
9 publications
Ozan Özdenizci
8 publications

Causal Consistency of Structural Equation Models

Complex systems can be modelled at various levels of detail. Ideally, ca...
07/04/2017 ∙ by Paul K. Rubenstein, et al. ∙ 0 ∙ share

read it
A note on the expected minimum error probability in equientropic channels

While the channel capacity reflects a theoretical upper bound on the ach...
05/23/2016 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

read it
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data

Causal inference concerns the identification of cause-effect relationshi...
05/02/2016 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

read it
Causal and anti-causal learning in pattern recognition for neuroimaging

Pattern recognition in neuroimaging distinguishes between two types of m...
12/15/2015 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

read it
Decoding index finger position from EEG using random forests

While invasively recorded brain activity is known to provide detailed in...
12/14/2015 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

read it
MERLiN: Mixture Effect Recovery in Linear Networks

Causal inference concerns the identification of cause-effect relationshi...
12/03/2015 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

read it
Causal interpretation rules for encoding and decoding models in neuroimaging

Causal terminology is often introduced in the interpretation of encoding...
11/15/2015 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

read it
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation

Optimization on manifolds is a class of methods for optimization of an o...
03/10/2016 ∙ by James Townsend, et al. ∙ 0 ∙ share

read it
groupICA: Independent component analysis for grouped data

We introduce groupICA, a novel independent component analysis (ICA) algo...
06/04/2018 ∙ by Niklas Pfister, et al. ∙ 0 ∙ share

read it
Distributional robustness as a guiding principle for causality in cognitive neuroscience

While probabilistic models describe the dependence structure between obs...
02/14/2020 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

read it
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values

In this article, we describe the algorithms for causal structure learnin...
02/21/2020 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

read it